Merge branch 'master' into fix/clamp-other-datatype-input-support

.github/workflows/jupyter-test.yml

@@ -0,0 +1,31 @@
+# on:
+#   push:
+#     tags:
+#       - '*'
+
+# jobs:
+#   test:
+#     name: test-notebook-${{matrix.config.name}}
+#     runs-on: ${{matrix.config.os}}
+#     strategy:
+#       matrix:
+#         config:
+#           - {name: x86_64-macos, os: macos-latest}
+#           - {name: x86_64-linux, os: ubuntu-latest}
+#           - {name: x86_64-windows, os: windows-latest}
+
+#     steps:
+#     - uses: actions/checkout@v2
+
+#     - name: Setup Python
+#       uses: actions/setup-python@v2
+#       with: 
+#         python-version: 3.7
+
+#     - name: Install dependencies
+#       run: pip install --upgrade pip && pip install jupyterlab pytest nbmake
+
+#     - name: Run tests
+#       run: pytest --nbmake examples/user_guide
+#       env:
+#         PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION: python

README.md

@@ -15,47 +15,55 @@
 Telegram: [nncase community](https://t.me/joinchat/PPcEPZMLaTViNDI1)
 
 ## Install from binaries
+
 ## 从二进制安装
 
 Download prebuilt binaries from [Release](https://github.com/kendryte/nncase/releases).
 
 下载预编译的二进制文件 [Release](https://github.com/kendryte/nncase/releases)。
 
 ## Build from source
+
 ## 从源码编译
 
 [Build from source](./docs/build.md)
 
 ## Supported operators
+
 ## 支持的算子
 
 - [TFLite ops](./docs/tflite_ops.md)
 - [Caffe ops](./docs/caffe_ops.md)
 - [ONNX ops](./docs/onnx_ops.md)
 
-
 ## K210/K510
+
 - [Usage](https://github.com/kendryte/nncase/blob/release/1.0/docs/USAGE_EN.md)
 - [FAQ](https://github.com/kendryte/nncase/blob/release/1.0/docs/FAQ_EN.md)
 - [使用说明](https://github.com/kendryte/nncase/blob/release/1.0/docs/USAGE_ZH.md)
 - [常见问题](https://github.com/kendryte/nncase/blob/release/1.0/docs/FAQ_ZH.md)
 - [Example](https://github.com/kendryte/nncase/blob/release/1.0/examples/user_guide/)
+
 ## K230
+
 - [Usage](./docs/USAGE_v2_EN.md)
 - [FAQ](./docs/FAQ_EN.md)
+- [Example](./examples/user_guide/k230_simulate-EN.ipynb)
 - [使用说明](./docs/USAGE_v2.md)
 - [常见问题](./docs/FAQ_ZH.md)
-- [Example](./examples/user_guide/)
+- [示例](./examples/user_guide/k230_simulate-ZH.ipynb)
 
 ## Resources
-## 资源
 
+## 资源
+### K210
 - [K210_Yolo_framework](https://github.com/zhen8838/K210_Yolo_framework)
-- [Shts! 's Blog (Japanese)](https://www.shtsno24.tokyo/2020/03/nncase-v020.html)
+- [Shts!'s Blog (Japanese)](https://www.shtsno24.tokyo/2020/03/nncase-v020.html)
 
 ---
 
 ## Architecture
+
 ## 架构
 
 <div align="center">

docs/FAQ_EN.md

@@ -1,24 +1,22 @@
 # FAQ
 
-[TOC]
+[toc]
 
 ## 1. Error installing `whl` package
 
 ### 1.1 Q: `xxx.whl is not a supported wheel on this platform`
 
 A: Upgrade pip >= 20.3 using `pip install --upgrade pip`
 
-
-
-----
+---
 
 ## 2. Compile-time errors
 
 ### 2.1 "System.NotSupportedException"
 
 #### 2.1.1 Q: Compile model reported error "System.NotSupportedException: Not Supported *** op: XXX"
 
-A: This exception indicates that there are operators, `XXX`, that are not yet supported. You can create a issue in [nncase Github Issue](https://github.com/kendryte/nncase/issues). In the current directory `***_ops.md`, you can view the operators already supported in each inference framework. 
+A: This exception indicates that there are operators, `XXX`, that are not yet supported. You can create a issue in [nncase Github Issue](https://github.com/kendryte/nncase/issues). In the current directory `***_ops.md`, you can view the operators already supported in each inference framework.
 
 If 'XXX' belongs to quantization-related operators such as `FAKE_QUANT`, `DEQUANTIZE`, `QUANTIZE`, it indicates that the current model is a quantized model, and 'nncase' does not currently support such models, please compile `kmodel` using a floating point model.
 
@@ -28,15 +26,19 @@ If 'XXX' belongs to quantization-related operators such as `FAKE_QUANT`, `DEQUAN
 
 A: Use `sudo gedit /proc/sys/fs/inotify/max_user_instances` to change 128 to a larger value.
 
+### 2.3 `initialize` error
+
+#### 2.3.1 Q："RuntimeError: Failed to initialize hostfxr" appears when compiling the kmodel.
 
+A1：Need to install dotnet-7.0.
 
-----
+---
 
 ## 3. Runtime errors
 
 ### 3.1 Q: Compiling `kmodel` is fine, but when inferring, the error `nncase.simulator.k230.sc: not found`occurs.
 
-A: You need to check whether the versions of `nncase` and `nncase-kpu` are the same.
+A: First, make sure that the path of the nncase installation is added to the PATH environment variable. You need to check whether the versions of `nncase` and `nncase-kpu` are the same.
 
 ```shell
 root@a52f1cacf581:/mnt# pip list | grep nncase
@@ -46,9 +48,7 @@ nncase-kpu 2.1.1.20230721
 
 If inconsistent, install the same version of the Python package `pip install nncase==x.x.x.x nncase-kpu==x.x.x.x`
 
-
-
-----
+---
 
 ## 4. Runtime error on k230 development board
 

docs/FAQ_ZH.md

@@ -6,35 +6,35 @@
 
 A：升级 pip >= 20.3 `pip install --upgrade pip`
 
-
-
-----
+---
 
 ## 2.编译模型时报错
 
 ### 2.1 `System.NotSupportedException`
 
 #### 2.1.1 Q：编译模型报错“System.NotSupportedException: Not Supported *** op: XXX”。
 
-A：该异常表明`XXX`算子尚未支持，可以在[nncase Github Issue](https://github.com/kendryte/nncase/issues)中提需求。当前目录下 `***_ops.md`文档，可以查看各个推理框架中已经支持的算子。
+A：该异常表明 `XXX`算子尚未支持，可以在[nncase Github Issue](https://github.com/kendryte/nncase/issues)中提需求。当前目录下 `***_ops.md`文档，可以查看各个推理框架中已经支持的算子。
 
-如果`XXX`属于 `FAKE_QUANT`、`DEQUANTIZE`、`QUANTIZE`等量化相关的算子，表明当前模型属于量化模型，`nncase`目前不支持这类模型，请使用浮点模型来编译`kmodel`。
+如果 `XXX`属于 `FAKE_QUANT`、`DEQUANTIZE`、`QUANTIZE`等量化相关的算子，表明当前模型属于量化模型，`nncase`目前不支持这类模型，请使用浮点模型来编译 `kmodel`。
 
 ### 2.2 `System.IO.IOException`
 
-#### 2.2.1 Q：下载`nncase`仓库自己编译后，运行test出现这个错误"The configured user limit (128) on the number of inotify instances has been reached, or the per-process limit on the number of open file descriptors has been reached"。
+#### 2.2.1 Q：下载 `nncase`仓库自己编译后，运行test出现这个错误"The configured user limit (128) on the number of inotify instances has been reached, or the per-process limit on the number of open file descriptors has been reached"。
 
 A1：使用 `sudo gedit /proc/sys/fs/inotify/max_user_instances`修改128为更大的值即可。
 
+### 2.3 `initialize`相关
+#### 2.3.1 Q：编译模型出现如下错误`RuntimeError: Failed to initialize hostfxr`
+A1：需要安装dotnet-7.0
 
-
-----
+---
 
 ## 3. 推理时报错
 
-### 3.1 Q：在编译kmodel正常， 但是推理的时候出现`nncase.simulator.k230.sc: not found`的错误。
+### 3.1 Q：在编译kmodel正常， 但是推理的时候出现 `nncase.simulator.k230.sc: not found`的错误。
 
-A：需要检查`nncase`和`nncase-kpu`的版本是否一致。
+A：将nncase的安装路径加入到 `PATH`环境变量中，同时检查一下nncase和nncase-kpu版本是否一致。
 
 ```shell
 root@a52f1cacf581:/mnt# pip list | grep nncase
@@ -44,9 +44,7 @@ nncase-kpu                   2.1.1.20230721
 
 如果不一致，请安装相同版本的Python包 `pip install nncase==x.x.x.x nncase-kpu==x.x.x.x`。
 
-
-
-----
+---
 
 ## 4. k230开发板推理时报错